Overview
Introduces the core concepts and tools used to organise and manipulate tabular data. Covers data processing, modelling, visualisation and analysis skills for business and research.
About this paper
| Paper title | Data Processing and Visualisation |
|---|---|
| Subject | Computer and Information Science |
| EFTS | 0.1500 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,318.20 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- INFO 130
- Schedule C
- Arts and Music, Commerce, Science
- Contact
Claudia Ott, School of Computing
- Teaching staff
- Textbooks
The online course workbook is available for free for enrolled students.
- Graduate Attributes Emphasised
- Communication, Critical thinking, Information literacy, Research.
View more information about Otago's graduate attributes. - Learning Outcomes
Upon completion of DATA 101 students should have acquired the knowledge and skills to apply best practice to:
- work with tabular data using spreadsheets to organise, analyse and visualise data
- use functions and complex formulae to execute calculations and build basic data models
- automate data processing tasks by using scripts and user defined functions
- to create compelling data visualisations using a range of tools
Overview
Introduces the core concepts and tools used to organise and manipulate tabular data. Covers data processing, modelling, visualisation and analysis skills for business and research.
About this paper
| Paper title | Data Processing and Visualisation |
|---|---|
| Subject | Computer and Information Science |
| EFTS | 0.1500 |
| Points | 18 points |
| Teaching period(s) | Semester 1
(On campus)
1st Non standard period (15 November 2027 - 18 December 2027) (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- INFO 130
- Schedule C
- Arts and Music, Commerce, Science
- Contact
- Teaching staff
- Textbooks
The online course workbook is available for free for enrolled students.
- Graduate Attributes Emphasised
- Communication, Critical thinking, Information literacy, Research.
View more information about Otago's graduate attributes. - Learning Outcomes
Upon completion of DATA 101, students should have acquired the knowledge and skills to apply best practice to:
- work with tabular data using spreadsheets to organise, analyse and visualise data
- use functions and complex formulae to execute calculations and build basic data models
- automate data processing tasks by using scripts, and user-defined functions
- create compelling data visualisations using a range of tools